Descriptor
Information Retrieval | 4 |
Systems Development | 4 |
Models | 2 |
Artificial Intelligence | 1 |
Behavior Patterns | 1 |
Behaviorism | 1 |
Classification | 1 |
Computer System Design | 1 |
Computers | 1 |
Databases | 1 |
Developed Nations | 1 |
More ▼ |
Source
Journal of Documentation | 4 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Information Analyses | 1 |
Tests/Questionnaires | 1 |
Education Level
Audience
Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Harper, D. J.: Van Rijsbergen, C. J. – Journal of Documentation, 1978
Reports experiments with a term weighting model incorporating relevance information in which it is assumed that index terms are distributed dependently. It is argued that, if high recall searches are required, relevance feedback based on the modified dependence model may be superior to the Boolean search. (Author/VT)
Descriptors: Evaluation, Feedback, Information Retrieval, Library Research

Barraclough, Elizabeth D. – Journal of Documentation, 1977
A consideration of the development of on-line systems in terms of the computer changes that made on-line searching possible, and the use of these changes by information retrieval systems. (Author/KP)
Descriptors: Computers, Information Retrieval, Interaction, Man Machine Systems

Ellis, David – Journal of Documentation, 1989
Outlines a behavioral approach to information retrieval system design based on the derivation of a behavioral model of the information-seeking patterns of academic social scientists. The extent to which identified information-seeking characteristics are supported by existing systems is considered, and requirements for implementing these features…
Descriptors: Behavior Patterns, Behaviorism, Computer System Design, Higher Education

Vickery, Alina; And Others – Journal of Documentation, 1987
Describes PLEXUS, an expert system for information retrieval related to gardening, designed at the University of London for use in public libraries. Focusing on the semantic problems encountered, methods used in artificial intelligence and information science to resolve them are discussed, including classification and facet analysis. (Author/LRW)
Descriptors: Artificial Intelligence, Classification, Databases, Developed Nations